topic-literature-search

What problem does it solve? Finding trustworthy academic papers on a research topic requires querying multiple databases, deduplicating results, and verifying bibliographic metadata, which is slow and error-prone when done manually. ## Core Features & Use Cases - Multi-database search: Generates targeted queries from topic concepts, acronyms, synonyms, and year ranges, then searches IEEE Xplore, arXiv, and Google Scholar. - Verification and deduplication: Verifies title, authors, year, venue, and DOI or arXiv ID against authoritative records, and deduplicates by DOI, arXiv ID, and normalized title. - Scored shortlist: Scores candidates on topic match, method, domain, publication type, and evidence availability, then returns a ranked Markdown list of up to ten papers with summaries. - Use Case: Ask for recent papers on graph neural networks for power grid fault detection, and receive a sourced, ranked list of ten verified papers with per-paper summaries and evidence basis. ## Quick Start Find and verify the ten most relevant papers from the last five years on transformer models for time-series forecasting, with links and summaries.